Livia Tomasini

3.3k total citations · 1 hit paper
16 papers, 2.1k citations indexed

About

Livia Tomasini is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Livia Tomasini has authored 16 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Livia Tomasini's work include Cancer Genomics and Diagnostics (6 papers), Single-cell and spatial transcriptomics (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). Livia Tomasini is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Single-cell and spatial transcriptomics (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). Livia Tomasini collaborates with scholars based in United States, Italy and Qatar. Livia Tomasini's co-authors include Flora M. Vaccarino, Jessica Mariani, Anna Szekely, Dean Palejev, Gianfilippo Coppola, Alexej Abyzov, Mark Gerstein, Michael Wilson, Katarzyna Chawarska and Mariangela Amenduni and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Livia Tomasini

16 papers receiving 2.1k citations

Hit Papers

FOXG1-Dependent Dysregulation of GABA/Glutamate Neuron Di... 2015 2026 2018 2022 2015 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Livia Tomasini United States 12 1.5k 585 332 311 275 16 2.1k
Anna Szekely United States 14 1.8k 1.1× 470 0.8× 326 1.0× 318 1.0× 293 1.1× 22 2.3k
Cassiano Carromeu United States 16 1.4k 0.9× 562 1.0× 488 1.5× 228 0.7× 275 1.0× 28 2.0k
Jessica Mariani United States 12 1.9k 1.2× 534 0.9× 425 1.3× 351 1.1× 545 2.0× 22 2.4k
Dean Palejev United States 10 1.3k 0.8× 336 0.6× 308 0.9× 325 1.0× 287 1.0× 18 1.8k
Mitsuhiro Hashimoto Japan 27 1.4k 0.9× 338 0.6× 958 2.9× 280 0.9× 436 1.6× 51 3.0k
Soham Chanda United States 20 2.6k 1.7× 405 0.7× 1.1k 3.2× 303 1.0× 574 2.1× 34 3.3k
Cory R. Nicholas United States 13 1.4k 0.9× 526 0.9× 432 1.3× 105 0.3× 471 1.7× 15 1.9k
Barbara S. Mallon United States 23 1.3k 0.9× 194 0.3× 561 1.7× 398 1.3× 471 1.7× 38 2.3k
Weihong Ge United States 13 1.7k 1.1× 496 0.8× 455 1.4× 51 0.2× 621 2.3× 16 2.4k
Christopher Grunseich United States 24 2.0k 1.3× 601 1.0× 639 1.9× 40 0.1× 220 0.8× 52 2.7k

Countries citing papers authored by Livia Tomasini

Since Specialization
Citations

This map shows the geographic impact of Livia Tomasini's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Livia Tomasini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Livia Tomasini more than expected).

Fields of papers citing papers by Livia Tomasini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Livia Tomasini. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Livia Tomasini. The network helps show where Livia Tomasini may publish in the future.

Co-authorship network of co-authors of Livia Tomasini

This figure shows the co-authorship network connecting the top 25 collaborators of Livia Tomasini. A scholar is included among the top collaborators of Livia Tomasini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Livia Tomasini. Livia Tomasini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Scuderi, Soraya, Tae-Yun Kang, Alexandre Jourdon, et al.. (2025). Specification of human brain regions with orthogonal gradients of WNT and SHH in organoids reveals patterning variations across cell lines. Cell stem cell. 32(6). 970–989.e11. 8 indexed citations
2.
Jang, Yeongjun, Liana Fasching, Taejeong Bae, et al.. (2023). Efficient reconstruction of cell lineage trees for cell ancestry and cancer. Nucleic Acids Research. 51(10). e57–e57. 1 indexed citations
3.
Sarangi, Vivekananda, Yeongjun Jang, Milovan Šuvakov, et al.. (2022). All2: A tool for selecting mosaic mutations from comprehensive multi-cell comparisons. PLoS Computational Biology. 18(4). e1009487–e1009487. 1 indexed citations
4.
Fasching, Liana, Yeongjun Jang, Simone Tomasi, et al.. (2021). Early developmental asymmetries in cell lineage trees in living individuals. Science. 371(6535). 1245–1248. 35 indexed citations
5.
Sekar, Shobana, Livia Tomasini, Christos Proukakis, et al.. (2020). Complex mosaic structural variations in human fetal brains. Genome Research. 30(12). 1695–1704. 19 indexed citations
6.
Bae, Taejeong, Livia Tomasini, Jessica Mariani, et al.. (2017). Different mutational rates and mechanisms in human cells at pregastrulation and neurogenesis. Science. 359(6375). 550–555. 169 indexed citations
7.
Abyzov, Alexej, Livia Tomasini, Bo Zhou, et al.. (2017). One thousand somatic SNVs per skin fibroblast cell set baseline of mosaic mutational load with patterns that suggest proliferative origin. Genome Research. 27(4). 512–523. 43 indexed citations
8.
Mariani, Jessica, Gianfilippo Coppola, Ping Zhang, et al.. (2015). FOXG1-Dependent Dysregulation of GABA/Glutamate Neuron Differentiation in Autism Spectrum Disorders. Cell. 162(2). 375–390. 767 indexed citations breakdown →
9.
Abyzov, Alexej, Jessica Mariani, Dean Palejev, et al.. (2012). Somatic copy number mosaicism in human skin revealed by induced pluripotent stem cells. Nature. 492(7429). 438–442. 270 indexed citations
10.
Mariani, Jessica, Maria Vittoria Simonini, Dean Palejev, et al.. (2012). Modeling human cortical development in vitro using induced pluripotent stem cells. Proceedings of the National Academy of Sciences. 109(31). 12770–12775. 378 indexed citations
11.
Swan, Laura E., Livia Tomasini, Michelle Pirruccello, Joël Lunardi, & Pietro De Camilli. (2010). Two closely related endocytic proteins that share a common OCRL-binding motif with APPL1. Proceedings of the National Academy of Sciences. 107(8). 3511–3516. 57 indexed citations
12.
Mao, Yuxin, Daniel M. Balkin, Roberto Zoncu, et al.. (2009). A PH domain within OCRL bridges clathrin‐mediated membrane trafficking to phosphoinositide metabolism. The EMBO Journal. 28(13). 1831–1842. 87 indexed citations
13.
McCrea, Heather J., Summer Paradise, Livia Tomasini, et al.. (2008). All known patient mutations in the ASH-RhoGAP domains of OCRL affect targeting and APPL1 binding. Biochemical and Biophysical Research Communications. 369(2). 493–499. 51 indexed citations
14.
Durner, Martina, Mehdi Keddache, Livia Tomasini, et al.. (2001). Genome scan of idiopathic generalized epilepsy: Evidence for major susceptibility gene and modifying genes influencing the seizure type. Annals of Neurology. 49(3). 328–335. 107 indexed citations
15.
Durner, Martina, Mehdi Keddache, Livia Tomasini, et al.. (2001). Genome scan of idiopathic generalized epilepsy: Evidence for major susceptibility gene and modifying genes influencing the seizure type. Annals of Neurology. 49(3). 328–335. 5 indexed citations
16.
Greenberg, David A., Martina Durner, Mehdi Keddache, et al.. (2000). Reproducibility and Complications in Gene Searches: Linkage on Chromosome 6, Heterogeneity, Association, and Maternal Inheritance in Juvenile Myoclonic Epilepsy. The American Journal of Human Genetics. 66(2). 508–516. 94 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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